ArticleJournal of biomedical optics2018
Efficient nonlinear beamformer based on P'th root of detected signals for linear-array photoacoustic tomography: application to sentinel lymph node imaging.
Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Circular-scanning variance delay and sum algorithm for photoacoustic imaging.Biomedical optics express · 2026Article
- Nonlinear beamforming for intracardiac echocardiography: a comparative study.Biomedical engineering letters · 2024Article
- Achieving depth-independent lateral resolution in AR-PAM using the synthetic-aperture focusing technique.Photoacoustics · 2022Review
- Photoacoustic imaging aided with deep learning: a review.Biomedical engineering letters · 2022Review
- Nonlinear mechanisms in photoacoustics-Powerful tools in photoacoustic imaging.Photoacoustics · 2021Review
- Photoacoustic tomography reconstruction using lag-based delay multiply and sum with a coherence factor improves in vivo ovarian cancer diagnosis.Biomedical optics express · 2021Article
- Technical considerations in the Verasonics research ultrasound platform for developing a photoacoustic imaging system.Biomedical optics express · 2021Article
- The double-stage delay-multiply-and-sum image reconstruction method improves imaging quality in a LED-based photoacoustic array scanner.Photoacoustics · 2018Article
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4 authors.
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Abstract
In linear-array transducer-based photoacoustic (PA) imaging, B-scan PA images are formed using the raw channel PA signals. Delay-and-sum (DAS) is the most prevalent algorithm due to its simple implementation, but it leads to low-quality images. Delay-multiply-and-sum (DMAS) provides a higher image quality in comparison with DAS while it imposes a computational burden of O ( M2 ) . We introduce a nonlinear (NL) beamformer for linear-array PA imaging, which uses the p'th root of the detected signals and imposes the complexity of DAS [O ( M ) ]. The proposed algorithm is evaluated numerically and experimentally [wire-target and in-vivo sentinel lymph node (SLN) imaging], and the effects of the parameter p are investigated. The results show that the NL algorithm, using a root of p (NL_p), leads to lower sidelobes and higher signal-to-noise ratio compared with DAS and DMAS, for (p > 2). The sidelobes level (for the wire-target phantom), at the depth of 11.4 mm, are about -31, -52, -52, -67, -88, and -109 dB, for DAS, DMAS, NL_2, NL_3, NL_4, and NL_5, respectively, indicating the superiority of the NL_p algorithm. In addition, the best value of p for SLN imaging is reported to be 12.
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